Methods

A Long N-step Surrogate Stage Reward for Deep Reinforcement Learning NeurIPS 2023 A Low Latency Adaptive Coding Spike Framework for Deep Reinforcement Learning IJCAI 2023 AlphaD3M: An Open-Source AutoML Library for Multiple ML Tasks AutoML 2023 AlphaSnake: Policy Iteration on a Nondeterministic NP-Hard Markov Decision Process (Student Abstract) AAAI 2023 A Meta-Reinforcement Learning Algorithm for Causal Discovery CLeaR 2023 An Adaptive Entropy-Regularization Framework for Multi-Agent Reinforcement Learning ICML 2023 An Alternative to Variance: Gini Deviation for Risk-averse Policy Gradient NeurIPS 2023 A Near-Optimal Algorithm for Safe Reinforcement Learning Under Instantaneous Hard Constraints ICML 2023 An effective negotiating agent framework based on deep offline reinforcement learning UAI 2023 An Efficient Deep Reinforcement Learning Algorithm for Solving Imperfect Information Extensive-Form Games AAAI 2023 An Ensemble Approach for Automated Theorem Proving Based on Efficient Name Invariant Graph Neural Representations IJCAI 2023 A New Challenge in Policy Evaluation AAAI 2023 An Instrumental Variable Approach to Confounded Off-Policy Evaluation ICML 2023 A Novel Framework for Policy Mirror Descent with General Parameterization and Linear Convergence NeurIPS 2023 Anti-drifting Feature Selection via Deep Reinforcement Learning (Student Abstract) AAAI 2023 Anti-Exploration by Random Network Distillation ICML 2023 Anytime-Competitive Reinforcement Learning with Policy Prior NeurIPS 2023 A Pair-Approximation Method for Modelling the Dynamics of Multi-Agent Stochastic Games AAAI 2023 A policy gradient approach for optimization of smooth risk measures UAI 2023 A Policy Optimization Method Towards Optimal-time Stability CoRL 2023 Approximate Thompson Sampling via Epistemic Neural Networks UAI 2023 A Pragmatic Look at Deep Imitation Learning ACML 2023 A Reduction-based Framework for Sequential Decision Making with Delayed Feedback NeurIPS 2023 A Reinforcement Learning Look at Risk-Sensitive Linear Quadratic Gaussian Control L4DC 2023 A Risk-Sensitive Approach to Policy Optimization AAAI 2023